ColossalAI/colossalai/nn/parallel/layers/linear.py

from .colo_module import ColoModule
from colossalai.tensor import ComputePattern, distspec, ProcessGroup


class ColoLinear(ColoModule):

    def __init__(self):
        super(ColoLinear, self).__init__()
        self._register_shard_params(['weight', 'bias'])

    def register(self, compute_pattern, pg: ProcessGroup):
        if not compute_pattern in self._allowed_patterns:
            if ComputePattern.TP1D == compute_pattern:
                self._set_TP1D(pg)

    def _set_TP1D(self, pg):
        # TP1D Row Linear
        _compute_pattern = ComputePattern.TP1D
        self._register_allowed_patterns(
            compute_pattern=_compute_pattern,
            dist_specs={
                'weight': distspec.shard([-1], [pg.tp_world_size()]),
                'bias': None
            },
            mode='row',
        )

        # TP1D Col Linear
        self._register_allowed_patterns(
            compute_pattern=_compute_pattern,
            dist_specs={
                'weight': distspec.shard([0], [pg.tp_world_size()]),
                'bias': distspec.shard([0], [pg.tp_world_size()])
            },
            mode='col',
        )

        self._set_default(compute_pattern=_compute_pattern, target_mode='row')